Authors:
- To create a probabilistic forecast
- Derivation of the particulate emission concept from contact and distribution rates
- Comprehensive consideration of the interrelationships
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Table of contents (7 chapters)
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Front Matter
About this book
The book describes the possibility of making a probabilistic prognosis, which uses the mean n-day logarithm of case numbers in the past to determine an exponent for a probability density for a prognosis, as well as the particle emission concept, which is derived from contact and distribution rates that increase the exponent of the probable development to the extent that a group of people can be formed.
Keywords
- Spread of biological infections
- corona virus
- Distribution rate and contact rate
- Basis for a probabilistic forecast
- Doubts about statistical surveys
- The difference between influenza flu and COVID wave
- Analysis of density Eqb
- Addition of the parameter Kurtosis to the density Eqb4
- Prediction using the density function
- Principles for exponential propagation
- Logarithm of historical data
- Hygiene consequences
- Handshake
- Breathing air (aerosols)
- Prediction using the density function
- Dynamic exponent
- Incidence under probabilistic aspects
- On the percolation theory COVID
- Principles of percolation-interface effects
- Consequences of the percolation effect
- Public Healthcare
Authors and Affiliations
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Lautertal, Germany
Marcus Hellwig
About the author
Bibliographic Information
Book Title: Particle emission concept and probabilistic consideration of the development of infections in systems
Book Subtitle: Dynamics from logarithm and exponent in the infection process, percolation effects
Authors: Marcus Hellwig
DOI: https://doi.org/10.1007/978-3-030-69500-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-69499-9Published: 04 May 2021
eBook ISBN: 978-3-030-69500-2Published: 03 May 2021
Edition Number: 1
Number of Pages: XIII, 110
Number of Illustrations: 2 b/w illustrations, 93 illustrations in colour
Topics: Applied Statistics, Public Health, Probability Theory and Stochastic Processes, Biostatistics, Statistics, general, Virology